Elasticsearch.Net Nest 5.0.0 用法

1：引用dll

using Elasticsearch.Net;using Nest;

2：代码（如下代码是查询以及创建index的基本用法，包含模糊查询和精确查询）

            var node = new Uri("http://localhost:9200");            var connectionPool = new SniffingConnectionPool(new[] { node });            var config = new ConnectionConfiguration(connectionPool).DisableDirectStreaming().BasicAuthentication("admin", "123qwe!@#").RequestTimeout(TimeSpan.FromSeconds(60));            var client = new ElasticLowLevelClient(config);            var settings = new ConnectionSettings(new Uri("http://localhost:9200")).DefaultIndex("2017.03.08").DisableDirectStreaming();            var client1 = new ElasticClient(settings);            var request = new SearchRequest            {                From = 0,                Size = 10,                //Query = new TermQuery { Field = "Name", Value = "FundPayService" },                PostFilter = new QueryContainer(new MatchAllQuery())            };            //var response = client1.Search<logs>(request);            //var result = client1.Search<logs>(s => s.Query(q => q.MatchAll()));            //IReadOnlyCollection<logs> content = result.Documents;            //按照字段查询--或关系            var r1 = new SearchRequest { Query = new MatchQuery { Field = "IP", Query = " BACKEND1" } };            var result2 = client1.Search<logs>(r1);            //var r4 =client1.Search<logs>(s => s.Query(b => b.QueryString(t1 => t1.DefaultField("IP").Query("BACKEND"))));                          var filter= new SearchRequest<logs>            {                Query = new MatchQuery                {                    Field = "IP",                    Query = "BACKEND"                }            };             var result4 = client1.Search<logs>(filter);            IReadOnlyCollection<logs> content2 = result2.Documents;            //模糊查询1            var r5 = client1.Search<logs>(s => s.Query(q => q.QueryString(p => p.Query("BACKEN*"))));            var r55 = r5.Documents;            //模糊查询2            var filter2 = new SearchRequest<logs>            {                Query =new MatchQuery                {                    Field = "IP",                    Query = "BACKEN"                }            };            r5 = client1.Search<logs>(filter2);            //范围查询            //下面这段代码会查询不出任何东西。因为生成json中的field字段：Scur 是为scur。 由于elastic里面的字段是Scur。导致无法找到该字段。建议以后elastic里面的字段都为小写            //var r6 = client1.Search<logs>(s => s.Query(q => q.Range(p=>p.Field(obj=>obj.Scur).GreaterThanOrEquals(1).LessThanOrEquals(5))));            var r6 = client1.Search<logs>(s => s.Query(q => q.Range(p => p.Field("Scur").GreaterThanOrEquals(1).LessThanOrEquals(5))));            var r66 = r5.Documents;            //创建索引 索引字段必须小写            ICreateIndexResponse icr =client1.CreateIndex("ip2");            //建立索引连接            var settings2 = new ConnectionSettings(new Uri("http://localhost:9200")).DefaultIndex("ip2").DisableDirectStreaming();            var client2 = new ElasticClient(settings2);            IIndexResponse iir =client2.Index<logs>(new logs { IP = "F", Scur = "2" });            //查询所有index数据             var r7 =client2.Search<logs>(q => q.MatchAll()).Documents;            //对于简单结构的数据             var r8 = client2.Search<logs>(p => p.Query(q => q.Term(f => f.Field(obj => obj.IP).Value('F'))));             r8 = client2.Search<logs>(p => p.PostFilter(q => q.Term(f => f.Field(obj => obj.IP).Value('F'))));            //对于有嵌套结构的数据             r8 = client2.Search<logs>(p => p.Query(q => q.Nested(x => x.Query(k => k.Term(c => c.Field(obj => obj.IP).Value('F'))))));            var r88=r8.Documents;

如果发现代码和出来的效果不一致，可以通过断点调试查看api字段里拼接好的查询条件，拷贝放进elasticsearch中的复合查询界面，查看哪里出了问题。

--复合查询界面在插件head里，需要自己安装。